SVD-AE: Simple Autoencoders for Collaborative Filtering

arXiv:2405.04746v1 Announce Type: cross
Abstract: Collaborative filtering (CF) methods for recommendation systems have been extensively researched, ranging from matrix factorization and autoencoder-based to graph filtering-based methods. Recently, lightweight methods that require almost no training have been recently proposed to reduce overall computation. However, existing methods still have room to improve the trade-offs among accuracy, efficiency, and robustness. In particular, there are no well-designed closed-form studies for \emph{balanced} CF in terms of the aforementioned trade-offs. In this paper, we design SVD-AE, …

arxiv autoencoders collaborative collaborative filtering cs.ai cs.ir cs.lg filtering simple svd type